Instructions to use ghatgetanuj/funnel-transformer-xlarge_cls_SentEval-CR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ghatgetanuj/funnel-transformer-xlarge_cls_SentEval-CR with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ghatgetanuj/funnel-transformer-xlarge_cls_SentEval-CR")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ghatgetanuj/funnel-transformer-xlarge_cls_SentEval-CR") model = AutoModelForSequenceClassification.from_pretrained("ghatgetanuj/funnel-transformer-xlarge_cls_SentEval-CR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2193f99ca3aa1de4e87d320c66d476b12f734746237a5ef11788c24f6ca2269b
- Size of remote file:
- 3.58 kB
- SHA256:
- 09d0ab0278efebce4c6d4e45c390c482fe0f2c2c227603bc0778ae2f6b894c49
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